Applied Statistics research in the department covers a wide range of applications and areas of applied science, for example, the design and analysis of experiments in agriculture, biological sciences, and engineering. It includes linear modeling and response surface modeling for system improvement, along with model diagnostic procedures. Other areas of application include statistics applied in veterinary science, the detection of disease outbreaks using spatial scan statistics, model diagnostic procedures, and time series modeling.
Faculty
- Jan DuBien - applied statistics
- Xinyuan Chen - causal inference, censoring, and regression
- Prakash Patil - nonparametric curve estimation
- Jon Woody - financial forensic statistics, stochastic modeling, and statistical climatology
- Tung-Lung Wu - cluster detection, high-dimensional data analysis
- Jialin Zhang - information theory, statistical computation
- Michelle Zhou - model diagnosis, survival, and longitudinal data analysis